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Commitdb8b668

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added intro to finance & technical indicators tutorial
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‎README.md

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@@ -52,6 +52,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
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-[How to Predict Stock Prices in Python using TensorFlow 2 and Keras](https://www.thepythoncode.com/article/stock-price-prediction-in-python-using-tensorflow-2-and-keras). ([code](machine-learning/stock-prediction))
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-[How to Convert Text to Speech in Python](https://www.thepythoncode.com/article/convert-text-to-speech-in-python). ([code](machine-learning/text-to-speech))
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-[How to Perform Voice Gender Recognition using TensorFlow in Python](https://www.thepythoncode.com/article/gender-recognition-by-voice-using-tensorflow-in-python). ([code](https://github.com/x4nth055/gender-recognition-by-voice))
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-[Introduction to Finance and Technical Indicators with Python](https://www.thepythoncode.com/article/introduction-to-finance-and-technical-indicators-with-python). ([code](machine-learning/technical-indicators))
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-###[General Python Topics](https://www.thepythoncode.com/topic/general-python-topics)
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#[Introduction to Finance and Technical Indicators with Python](https://www.thepythoncode.com/article/introduction-to-finance-and-technical-indicators-with-python)
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To run this:
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-`pip3 install -r requirements.txt`
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- Please check[the notebook](technical_indicators.ipynb) or the[Python script](technical_indicators.py)
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pandas-datareader
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yfinance
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mpl-finance
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stockstats

‎machine-learning/technical-indicators/technical_indicators.ipynb

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# To add a new cell, type '# %%'
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# To add a new markdown cell, type '# %% [markdown]'
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# %%
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importyfinanceasyf
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importpandas_datareaderaspdr
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frommpl_financeimportcandlestick_ohlc
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importmatplotlib.pyplotasplt
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# %%
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# import SPY stock price
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df_spy=pdr.get_data_yahoo("SPY",start="2019-01-01",end="2019-09-30")
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# import AAPL stock price
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df_aapl=pdr.get_data_yahoo("AAPL",start="2019-01-01",end="2019-09-30")
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# %%
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df_spy.head()
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# %%
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df_aapl[["Open","High","Low","Close"]].plot()
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plt.show()
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# %%
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fig=plt.figure(figsize=(10,10))
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ax=plt.subplot()
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plot_data= []
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foriinrange(150,len(df_aapl)):
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row= [
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i,
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df_aapl.Open.iloc[i],
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df_aapl.High.iloc[i],
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df_aapl.Low.iloc[i],
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df_aapl.Close.iloc[i],
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]
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plot_data.append(row)
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candlestick_ohlc(ax,plot_data)
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plt.show()
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# %%
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fromstockstatsimportStockDataFrame
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stocks=StockDataFrame.retype(df_aapl[["Open","Close","High","Low","Volume"]])
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# %%
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plt.plot(stocks["close_10_sma"],color="b",label="SMA")
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plt.plot(df_aapl.Close,color="g",label="Close prices")
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plt.legend(loc="lower right")
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plt.show()
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# %%
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plt.plot(stocks["close_10_sma"],color="b",label="SMA")# plotting SMA
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plt.plot(stocks["close_10_ema"],color="k",label="EMA")
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plt.plot(df_aapl.Close,color="g",label="Close prices")# plotting close prices
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plt.legend(loc="lower right")
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plt.show()
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# %%
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plt.plot(stocks["macd"],color="b",label="MACD")
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plt.plot(stocks["macds"],color="g",label="Signal Line")
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plt.legend(loc="lower right")
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plt.show()
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